Lifeboat Foundation

Over the past decade, digital cameras have been widely adopted in various aspects of our society, and are being massively used in mobile phones, security surveillance, autonomous vehicles, and facial recognition. Through these cameras, enormous amounts of image data are being generated, which raises growing concerns about privacy protection.

Some existing methods address these concerns by applying algorithms to conceal sensitive information from the acquired images, such as image blurring or encryption. However, such methods still risk exposure of sensitive data because the raw images are already captured before they undergo digital processing to hide or encrypt the sensitive information. Also, the computation of these algorithms requires additional power consumption. Other efforts were also made to seek solutions to this problem by using customized cameras to downgrade the image quality so that identifiable information can be concealed. However, these approaches sacrifice the overall image quality for all the objects of interest, which is undesired, and they are still vulnerable to adversarial attacks to retrieve the sensitive information that is recorded.

A new research paper published in eLight demonstrated a new paradigm to achieve privacy-preserving imaging by building a fundamentally new type of imager designed by AI. In their paper, UCLA researchers, led by Professor Aydogan Ozcan, presented a smart camera design that images only certain types of desired objects, while instantaneously erasing other types of objects from its images without requiring any digital processing.

This week our guest is NBC technology correspondent, Jacob Ward, who recently released his book, The Loop: How Technology Is Creating a World Without Choices and How to Fight Back. In this episode we focus broadly on the ways in which technology and AI are learning from the worst instincts of human beings, and then using those bad behaviors to shape our future choices. As a result, Jacob suggests this creates feedback loops of increasingly limited and increasingly short-sighted behavior. This conversation includes exploring topics such as big data, bad incentives for programmers, profit motives, historical bias reflected in data, system 1 vs system 2 thinking, and much more.

Find out more about Jacob at jacobward.com or follow him on Twitter at twitter.com/byjacobward ** Host: Steven Parton — LinkedIn / Twitter Music by: Amine el Filali.

54 MINS

Welcome to our free science videos for teens and pre-teens, hosted by the interactive online science program for young explorers, Art of Inquiry!
www.artofinquiry.net.

Our speaker, Dr. Joscha Bach talks with the Art of Inquiry students about his work.

Continue reading “General Artificial Intelligence with Dr. Joscha Bach, AI Foundation” »

Circa 2017 Basically this not about cheating but artificial intelligence helping students with their homework with perfect accuracy which is monumental.

Teachers are being forced to adapt to Wolfram Alpha, which executes homework perfectly and whose use almost impossible to detect.

A group of scientists from the University College London has developed an artificial intelligence (AI) algorithm that can detect drug-resistant focal cortical dysplasia (FCD), a subtle anomaly in the brain that leads to epileptic seizures. This is a promising step for scientists toward detecting and curing epilepsy in its early stages.

To develop the algorithm, the Multicentre Epilepsy Lesion Detection project (MELD) gathered more than 1,000 patients’ MRI scans from 22 international epilepsy centers, which reports where anomalies are in cases of drug-resistant focal cortical dysplasia (FCD), a major reason behind epilepsy.

Functioning in curved space, the robot heralds new space locomotive technology possibilities without the use of propellants.

A robot engineered at Georgia Institute of Technology (Georgia Tech) has done the unthinkable and flouted a steadfast law of motion, suggesting that new laws need to be defined. Such new principles may have applications in new forms of locomotion without propellants.

We’ve all seen the hilarious slapstick gag where the unwitting individual steps on a banana peel, landing comically on their rump. It may not seem like it, but the quip relies on the fact that human locomotion, like all locomotion, is based on Newton’s third law of motion.

Continue reading “Curved space robot defies known laws of physics” »

Circa 2018

This is a talk by Stephen Wolfram for MIT course 6.S099: Artificial General Intelligence. This class is free and open to everyone. Our goal is to take an engineering approach to exploring possible paths toward building human-level intelligence for a better world.

Continue reading “Stephen Wolfram: Computational Universe | MIT 6.S099: Artificial General Intelligence (AGI)” »

But what I find even more interesting is that as metaverse tools like Nvidia’s Omniverse become more consumer friendly, the ability to use AI and human digital twins will enable us to create our own worlds where we dictate the rules and where our AI-driven digital twins will emulate real people and animals.

At that point, I expect we’ll need to learn what it means to be gods of the worlds we create, and I doubt we are anywhere near ready, both in terms of the addictive nature of such products and how to create these metaverse virtual worlds in ways that can become the basis for our own digital immortality.

Continue reading “The Metaverse Future: Are You Ready To Become a God?” »

The quadrupedal robots are well suited for repetitive tasks.

Mankind’s new best friend is coming to the U.S. Space Force.

The Space Force has conducted a demonstration using dog-like quadruped unmanned ground vehicles (Q-UGVs) for security patrols and other repetitive tasks. The demonstration used at least two Vision 60 Q-UGVs, or “robot dogs,” built by Ghost Robotics and took place at Cape Canaveral Space Force Station on July 27 and 28.